agricolae (version 1.0-4)

strip.plot: Strip-Plot analysis

Description

The variance analysis of a strip-plot design is divided into three parts: the horizontal-factor analysis, the vertical-factor analysis, and the interaction analysis.

Usage

strip.plot(BLOCKS, COL, ROW, Y)

Arguments

BLOCKS

replications

COL

Factor column

ROW

Factor row

Y

Variable, response

Value

• BLOCKS
  vector, numeric
• COL
  vector, numeric
• ROW
  vector, numeric
• Y
  vector, numeric

Details

The strip-plot design is specifically suited for a two-factor experiment in which the desired precision for measuring the interaction effects between the two factors is higher than that for measuring the main efect two factors

References

Statistical procedures for agricultural research. Kwanchai A. Gomez, Arturo A. Gomez. Second Edition. 1984.

Examples

# Yield
library(agricolae)
data(huasahuasi)
attach(huasahuasi)
modelo<-strip.plot(Block, Clon, Treat, yield)
comparison<-LSD.test(yield,Clon,modelo$gl.a,modelo$Ea)
comparison<-LSD.test(yield,Treat,modelo$gl.b,modelo$Eb)